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2312.16610
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Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation
27 December 2023
Rongyu Zhang
Yulin Luo
Jiaming Liu
Huanrui Yang
Zhen Dong
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
Kurt Keutzer
Yuan Du
Shanghang Zhang
MoMe
MoE
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Papers citing
"Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation"
7 / 7 papers shown
Title
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection
Jiaming Liu
Rongyu Zhang
Xiaoqi Li
Xiaowei Chi
Zehui Chen
Ming Lu
Yandong Guo
Shanghang Zhang
3DPC
29
4
0
30 Nov 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Özgür Türkoglu
Alexander Becker
H. Gündüz
Mina Rezaei
Bernd Bischl
Rodrigo Caye Daudt
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
FedML
UQCV
30
25
0
31 May 2022
Towards More Effective and Economic Sparsely-Activated Model
Hao Jiang
Ke Zhan
Jianwei Qu
Yongkang Wu
Zhaoye Fei
...
Enrui Hu
Yinxia Zhang
Yantao Jia
Fan Yu
Zhao Cao
MoE
142
12
0
14 Oct 2021
Multi-Stage Progressive Image Restoration
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
119
1,444
0
04 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
206
506
0
15 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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